The Job

Data Engineer II, WW FBA Central Analytics

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Data Science

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In short

The WW FBA Central Analytics team seeks a Data Engineer II to build and maintain data infrastructure for an LLM-based insights platform. This role focuses on implementing data standardization, governance, and metadata enrichment to ensure AI-generated insights are accurate and trustworthy, designing systems for schema standards, lineage tracking, and quality validation.

Responsibilities

  • Build dbt-based semantic models representing FBA metrics with business-friendly definitions consumed by RAG.
  • Automate metadata harvesting with column-level descriptions, ownership tags, and business context for retrieval during text-to-SQL prompts.
  • Implement lineage tracking tied to Redshift, S3, and Glue to power AI-driven source citations.
  • Implement fine-grained access controls for embeddings and vector DB access, enforcing compliance.
  • Build pipelines for proactive quality validation (null checks, distribution anomalies) feeding into AI's feedback loops.
  • Partner with teams on metric standardization initiatives to avoid ambiguity in AI responses.

Requirements

  • 5+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • 5+ years in data engineering with experience in AWS and data quality tooling.
  • Proficiency in SQL, Python, and workflow orchestration (MWAA/Airflow).
  • Strong knowledge of data quality frameworks.

Desired Qualifications

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
  • Familiarity with LLM-driven metadata retrieval and semantic layer development.
  • Experience with audit and lineage tools.

Benefits

  • Inclusive culture empowers Amazonians to deliver the best results for our customers.
  • Workplace accommodations and adjustments available during the application and hiring process, including support for the interview or onboarding process.
#Data Engineering#Analytics#AWS#LLM#Fulfillment by Amazon#ETL#Data Quality#Metadata#Data Modeling
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Company

Amazon

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bengaluru, India

Applicants

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